Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms

Author:

Mohanraj T.,Yerchuru Jayanthi,Krishnan H.,Nithin Aravind R.S.,Yameni R.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference54 articles.

1. J. Ahire, Artificial Neural Networks: The Brain Behind AI, Independently Published, 2018.

2. Development of tool wear machining monitoring using novel statistical analysis method, I-kaz™;Ahmad;Procedia Eng.,2015

3. Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances;Altan;Mech. Syst. Signal Process.,2020

4. The effect of kernel values in support vector machine to forecasting performance of financial time series;Altan;J. Cogn. Syst.,2019

5. Tool wear condition monitoring based on continuous wavelet transform and blind source separation;Benkedjouh;Int. J. Adv. Manuf. Technol.,2018

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